计算机与现代化Issue(2)：64-69,6.DOI:10.3969/j.issn.1006-2475.2025.02.009
基于多模态图卷积网络的新型电力系统通信数据融合方法
A Novel Communication Data Fusion Method for Power Systems Based on Multimodal Graph Convolutional Networks
摘要
Abstract
The integration of a large number of devices in the new power system has brought about the problem of chaotic and dif-ficult to handle communication data between devices.This article adopts a multimodal graph convolutional network to fuse com-munication data of a new type of power system.Firstly,by classifying the data source devices,a node equation for communica-tion data flow is constructed.Secondly,based on the process of data transmission,multi-modal methods are used to construct fully linked data edges.Finally,the graph convolution method is used to convolution and fuse the obtained communication data stream,simplifying the data transmission process into data vectors,completing the feature level data fusion process,and guiding decision-making.Through simulation testing on the communication dataset of Zhejiang Power Grid,it is verified that the new power system communication data fusion method based on multimodal graph convolutional network has good application effects.关键词
电力系统通信/数据融合/多模态特征/图卷积Key words
power system communication/data fusion/multimodal features/graph convolution分类
动力与电气工程引用本文复制引用
李昂,杜猛俊,钱锦,童俊,杨涛,陈国涛,靳文星..基于多模态图卷积网络的新型电力系统通信数据融合方法[J].计算机与现代化,2025,(2):64-69,6.基金项目
国家自然科学基金青年基金资助项目(52007196) （52007196）
